ruiyang-medinfo/GlobMed_BioNLI

🌍 GlobMed: BioNLI

GlobMed_BioNLI covers 20 languages, including 13 high-resource languages (Arabic, Chinese, English, French, German, Hindi, Indonesian, Japanese, Korean, Portuguese, Russian, Spanish, and Thai) and 7 low-resource languages (Bengali, Malay, Swahili, Urdu, Wolof, Yoruba, and Zulu). | Code | ar | bn | zh | en | fr | de | hi | id | ja | ko | ms | pt | ru | es | sw | th | ur | wo | yo | zu | |:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:| | Language | Arabic | Bengali | Chinese | English | French | German | Hindi | Indonesian | Japanese | Korean | Malay | Portuguese | Russian | Spanish | Swahili | Thai | Urdu | Wolof | Yoruba | Zulu | | Resource Level | High | Low | High | High | High | High | High | High | High | High | Low | High | High | High | Low | High | Low | Low | Low | Low |

Data Structure

GlobMed_BioNLI contains 9,990 entries, which are split into 5,540 training entries and 4,450 test entries.

<language>
├── train.json
└── test.json

Data Loading

from datasets import load_dataset
# load HF dataset
globmed_bionli = load_dataset("ruiyang-medinfo/GlobMed_BioNLI", "en")

globmed_bionli_train = globmed_bionli["train"]
globmed_bionli_test = globmed_bionli["test"]

License

GlobMed_BioNLI is a translated derivative of BioNLI and is released under the CC BY 4.0 license in alignment with the original BioNLI.

Citation

@article{yang2026toward,
  title={Toward Global Large Language Models in Medicine},
  author={Yang, Rui and Li, Huitao and Xuan, Weihao and Qi, Heli and Li, Xin and Yu, Kunyu and Chen, Yingjian and Wang, Rongrong and Behmoaras, Jacques and Cai, Tianxi and others},
  journal={arXiv preprint arXiv:2601.02186},
  year={2026}
}